End of training
Browse files- README.md +99 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: FacebookAI/roberta-base
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tags:
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- generated_from_trainer
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datasets:
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- sentiment140
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: roberta-base-sentiment140
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: sentiment140
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type: sentiment140
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config: sentiment140
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split: train
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args: sentiment140
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.883
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- name: Precision
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type: precision
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value: 0.8801652892561983
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- name: Recall
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type: recall
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value: 0.8783505154639175
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- name: F1
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type: f1
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value: 0.8792569659442725
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# roberta-base-sentiment140
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the sentiment140 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3988
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- Accuracy: 0.883
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- Roc Auc: 0.9515
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- Precision: 0.8802
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- Recall: 0.8784
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- F1: 0.8793
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc | Precision | Recall | F1 |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|:-------:|:---------:|:------:|:------:|
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| 0.2864 | 1.0 | 49969 | 0.3030 | 0.777 | 0.9470 | 0.6921 | 0.9732 | 0.8089 |
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| 0.255 | 2.0 | 99938 | 0.2872 | 0.885 | 0.9553 | 0.8585 | 0.9134 | 0.8851 |
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| 0.239 | 3.0 | 149907 | 0.2921 | 0.881 | 0.9543 | 0.8690 | 0.8887 | 0.8787 |
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| 0.2042 | 4.0 | 199876 | 0.3028 | 0.891 | 0.9549 | 0.8821 | 0.8948 | 0.8884 |
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| 0.187 | 5.0 | 249845 | 0.3192 | 0.89 | 0.9536 | 0.8788 | 0.8969 | 0.8878 |
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| 0.1606 | 6.0 | 299814 | 0.3670 | 0.885 | 0.9514 | 0.8715 | 0.8948 | 0.8830 |
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| 0.1343 | 7.0 | 349783 | 0.3988 | 0.883 | 0.9515 | 0.8802 | 0.8784 | 0.8793 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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model.safetensors
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size 498615900
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